A New Non-Intrusive Authentication Method Based on the Orientation Sensor for Smartphone Users

Precision control of a tiltable spinning shaft requires real-time measurement of the inclination. Conventional single-axis encoders, though capable of providing high-resolution (linear or angular) measurements, rely on mechanical linkages (that often introduce frictions, backlashes, and singularities) to constrain the device so that the three-DOF motion can be deduced from the individual orthogonal measurements. Vision-based sensors, which have the attractive features of being non-contact, are limited to low speed measurements. We present here an efficient method for designing a magnetic field-based orientation sensor for devices where orientation control of a rotating shaft under the influence of a magnetic field is required. The ability to characterize the magnetic fields and forces in addition to orientation sensing can offer a number of advantages in real-time computation and control.

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Development of the obstacle detection system combining orientation sensor of smartphone and distance sensor

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2015.7319929 ◽

2015 ◽

Cited By ~ 2

Author(s):

Yutaka Tange ◽

Shunsuke Takeno ◽

Junichi Hori

Keyword(s):

Detection System ◽

Obstacle Detection ◽

Distance Sensor ◽

Orientation Sensor

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Video stabilization to a global 3D frame of reference by fusing orientation sensor and image alignment data

2010 IEEE International Symposium on Mixed and Augmented Reality ◽

10.1109/ismar.2010.5643595 ◽

2010 ◽

Cited By ~ 2

Author(s):

Oscar Nestares ◽

Yoram Gat ◽

Horst Haussecker ◽

Igor Kozintsev

Keyword(s):

Frame Of Reference ◽

Image Alignment ◽

Video Stabilization ◽

Orientation Sensor

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Application of Images and Laser Range to Detection of Workers Around Heavy Construction Equipment

Journal of Robotics and Mechatronics ◽

10.20965/jrm.2012.p1000 ◽

2012 ◽

Vol 24 (6) ◽

pp. 1000-1004

Author(s):

Soungho Chae ◽

Keyword(s):

Construction Equipment ◽

System Evaluation ◽

Range Data ◽

Laser Range Finder ◽

Range Finder ◽

Laser Range ◽

Heavy Equipment ◽

Hydraulic Excavators ◽

Orientation Sensor ◽

Heavy Construction

This paper describes the application of sensors to prevent collision accidents with heavy equipment such as hydraulic excavators and cranes. From the results of an existing system evaluation, the author developed a system that measures distance from heavy equipment to personnel using a camera, 2-D laser range finder, and 3-D orientation sensor. A prototype wasmade and it has been confirmed that the detection of personnel is possible based on camera images and laser range data.

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